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# Senior AI Engineer

- **Company:** TieTalent
- **Location:** Manchester, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Continuous Integration, MongoDB, Recommender Systems, Search Technologies, SQL Databases, TypeScript, Web Application Frameworks, .NET Core, DevOps Tools - Open-source, Retrieval-Augmented Generation, Large Language Models, Software Security, Backend, AngularJS, Production Code, Api Design, Microservices
- **Published:** September 10, 2026
- **Apply:** https://www.collegerecruiter.com/job/2840588761-senior-ai-engineer

## About the Role

* Proven experience in .NET Core/C# and modern web frameworks like Angular/TypeScript
 * Hands-on experience with LLM APIs (OpenAI, Claude, Bedrock), LangChain, or RAG-based architectures
 * Deep familiarity with API design, microservices, and cloud-first development (AWS, Azure, or GCP)
 * Experience building systems with MongoDB, SQL, or vector databases like Pinecone or MongoDB Atlas Vector Search
 * Solid engineering practices: TDD, CI/CD pipelines, DevOps tooling, and secure deployment at scale

## Description

Join our high-impact squad of engineers and AI innovators as a Senior AI Engineer to architect, build, and evolve TC Co-Pilot - our intelligent assistant embedded deep within our tech ecosystem. This is a hands-on engineering role where your code directly amplifies the power of humans, helping our Travel Counsellors work smarter, faster, and more creatively than ever before.

You'll build AI into the heart of our customer journeys using large language models (LLMs), recommendation systems, voice interfaces, and generative tools - all grounded in scalable, production-ready code.

What You7;ll Be Doing

 * Engineer AI-first systems: Bring LLMs, recommendation engines, and natural language interfaces into our platform, from prototype to production.
 * Own key backend services: Use .NET Core/C# to build scalable APIs and services that connect human intent with machine intelligence.
 * Build RAG-powered workflows: Leverage retrieval-augmented generation, context-aware orchestration (MCP), and internal datasets to generate real-time, contextual insights.
 * Collaborate across disciplines: Work with product designers, data scientists, and AI strategy leads to embed intelligent features into everyday user flows.
 * Stay ahead of the curve: Apply emerging AI trends, focusing on what works and shaping the future of our AI stack.


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